Atomically Resolved Defect-Engineering Scattering Potential in 2D Semiconductors.

Engineering atomic-scale defects has become an important strategy for the future application of transition metal dichalcogenide (TMD) materials in next-generation electronic technologies. Thus, providing an atomic understanding of the electron-defect interactions and supporting defect engineering development to improve carrier transport is crucial to future TMDs technologies. In this work, we utilize low-temperature scanning tunneling microscopy/spectroscopy (LT-STM/S) to elicit how distinct types of defects bring forth scattering potential engineering based on intervalley quantum quasiparticle interference (QPI) in TMDs. Furthermore, quantifying the energy-dependent phase variation of the QPI standing wave reveals the detailed electron-defect interaction between the substitution-induced scattering potential and the carrier transport mechanism. By exploring the intrinsic electronic behavior of atomic-level defects to further understand how defects affect carrier transport in low-dimensional semiconductors, we offer potential technological applications that may contribute to the future expansion of TMDs.

Deep Learning-Based Surgical Treatment Recommendation and Nonsurgical Prognosis Status Classification for Scaphoid Fractures by Automated X-ray Image Recognition.

Biomedical information retrieval for diagnosis, treatment and prognosis has been studied for a long time. In particular, image recognition using deep learning has been shown to be very effective for cancers and diseases. In these fields, scaphoid fracture recognition is a hot topic because the appearance of scaphoid fractures is not easy to detect. Although there have been a number of recent studies on this topic, no studies focused their attention on surgical treatment recommendations and nonsurgical prognosis status classification. Indeed, a successful treatment recommendation will assist the doctor in selecting an effective treatment, and the prognosis status classification will help a radiologist recognize the image more efficiently. For these purposes, in this paper, we propose potential solutions through a comprehensive empirical study assessing the effectiveness of recent deep learning techniques on surgical treatment recommendation and nonsurgical prognosis status classification. In the proposed system, the scaphoid is firstly segmented from an unknown X-ray image. Next, for surgical treatment recommendation, the fractures are further filtered and recognized. According to the recognition result, the surgical treatment recommendation is generated. Finally, even without sufficient fracture information, the doctor can still make an effective decision to opt for surgery or not. Moreover, for nonsurgical patients, the current prognosis status of avascular necrosis, non-union and union can be classified. The related experimental results made using a real dataset reveal that the surgical treatment recommendation reached 80% and 86% in accuracy and AUC (Area Under the Curve), respectively, while the nonsurgical prognosis status classification reached 91% and 96%, respectively. Further, the methods using transfer learning and data augmentation can bring out obvious improvements, which, on average, reached 21.9%, 28.9% and 5.6%, 7.8% for surgical treatment recommendations and nonsurgical prognosis image classification, respectively. Based on the experimental results, the recommended methods in this paper are DenseNet169 and ResNet50 for surgical treatment recommendation and nonsurgical prognosis status classification, respectively. We believe that this paper can provide an important reference for future research on surgical treatment recommendation and nonsurgical prognosis classification for scaphoid fractures.

Spin Crossover in [Fe(qsal-5-Brq)2]+ Complexes with a Quinoline-Substituted Qsal Ligand.

Using a quinoline substituted Qsal ligand, Hqsal-5-Brq (Hqsal-5-Brq = N-(5-bromo-8-quinolyl)salicylaldimine), four FeIII complexes, [Fe(qsal-5-Brq)2]A·CH3OH (Y = NO3- (1NO3), BF4- (2BF4), PF6- (3PF6), OTf- (4OTf), were prepared and characterized. Structure analysis revealed that complex 2BF4 contained two species (2BF4(P1̅) and 2BF4(C2/c)). In these compounds except 3PF6, the [Fe(qsal-5-Brq)2]+ cations form 1D chains through π-π interactions and other weak interactions. Adjacent chains are connected to form the 2D "Chain Layer" structures and 3D structures through various supramolecular interactions. For 3PF6, a "Dimer Chain" structure is formed from the loosely connected dimers. Magnetic studies revealed that compounds 1NO3 and 2BF4(P1̅) displayed abrupt hysteretic SCO with the transition temperature T1/2↓ = 235 K, T1/2↑ = 240 K for 1NO3 and T1/2↓ = 230 K, T1/2↑ = 235 K for 2BF4(P1̅), while compounds 3PF6 and 4OTf are in the HS state. Desolvation of the complexes significantly modifies their SCO properties: the desolvated 1NO3 and 2BF4 show a gradual SCO, desolvated 3PF6 undergoes a two-step SCO, and desolvated 4OTf exhibits a hysteretic transition. Overall, this work reported the FeIII-SCO complexes of the quinoline-substituted Hqsal ligand and highlighted the potential of these ligands for the development of interesting FeIII-SCO materials.

Research on the tilt-to-length coupling noise suppression method inside the gravitational wave detection telescope.

As an integral component of the laser interferometry measurement system, the tilt-to-length (TTL) coupling noise inside the telescope stands out as a critical noise factor that requires meticulous consideration. In the TianQin project, the non-geometric TTL-coupled noise inside the telescope should be less than 0.22 pm/Hz1/2. Additionally, the wavefront aberration RMS at the small pupil of the telescope needs to be better than 0.0065 λ. These requirements set for the telescope are exceptionally stringent. To address this challenge, this study aims to relax the wavefront aberration requirements by mitigating non-geometric TTL coupling noise, while ensuring the non-geometric TTL coupling noise remains below 0.22 pm/Hz1/2. By controlling the coupling aberration proportion, the wavefront aberration RMS at the small pupil of the telescope can be relaxed to 0.014 λ. Alternatively, optimizing the Gaussian beam waist radius can relax the wavefront aberration RMS to 0.016 λ. By simultaneously utilizing two optimization methods, the wavefront aberration at the small pupil of the telescope can be reduced to 0.033 λ, resulting in an impressive success rate of 91.15% in meeting the noise requirements.

Rapid adaptive substitution of L226Q in HA protein increases the pathogenicity of H9N2 viruses in mice.

Background: Since the first human infection with H9N2 virus was reported in 1998, the number of cases of H9N2 infection has exceeded one hundred by 2021. However, there is no systematic description of the biological characteristics of H9N2 viruses isolated from humans. Methods: Therefore, this study analyzed the pathogenicity in mice of all available H9N2 viruses isolated from human cases in China from 2013 to 2021. Results: Although most of the H9N2 viruses analyzed showed low or no pathogenicity in mice, the leucine to glutamine substitution at residue 226 (L226Q) in the hemagglutinin (HA) protein rapidly emerged during the adaptation of H9N2 viruses, and was responsible for severe infections and even fatalities. HA amino acid 226Q conferred a remarkable competitive advantage on H9N2 viruses in mice relative to viruses containing 226L, increasing their virulence, infectivity, and replication. Conclusion: Thus, our study demonstrates that the adaptive substitution HA L226Q rapidly acquired by H9N2 viruses during the course of infection in mice contributed to their high pathogenicity.

Cross-Species Transmission Potential of H4 Avian Influenza Viruses in China: Epidemiological and Evolutionary Study.

H4 avian influenza viruses (AIVs) have been widely detected in live poultry markets in China. However, the potential public health impact of H4 AIVs remains largely uncertain. Here, we fully analyzed the distribution and phylogenetic relationship of H4 AIVs in China. We obtained 31 isolates of H4 viruses in China during 2009-2022 through surveillance in poultry-associated environments, such as live poultry markets and poultry farms. Genomic sequence analysis together with publicly available data revealed that frequent reassortment and introduction of H4 AIV from wild birds to poultry may have occurred. We identified 62 genotypes among 127 whole genome sequences of H4 viruses in China, indicating that H4 AIVs had great genetic diversity in China. We also investigated molecular markers and found that drug resistance mutations frequently occurred in the M2 protein and a few mutations related to receptor binding and the host signature in H4 AIVs. Our study demonstrates the cross-species transmission potential of H4 AIVs in China and provides some reference significance for its risk assessment.

Investigating the role of undercoordinated Pt sites at the surface of layered PtTe2 for methanol decomposition.

Transition metal dichalcogenides, by virtue of their two-dimensional structures, could provide the largest active surface for reactions with minimal materials consumed, which has long been pursued in the design of ideal catalysts. Nevertheless, their structurally perfect basal planes are typically inert; their surface defects, such as under-coordinated atoms at the surfaces or edges, can instead serve as catalytically active centers. Here we show a reaction probability > 90 % for adsorbed methanol (CH3OH) on under-coordinated Pt sites at surface Te vacancies, produced with Ar+ bombardment, on layered PtTe2 - approximately 60 % of the methanol decompose to surface intermediates CHxO (x = 2, 3) and 35 % to CHx (x = 1, 2), and an ultimate production of gaseous molecular hydrogen, methane, water and formaldehyde. The characteristic reactivity is attributed to both the triangular positioning and varied degrees of oxidation of the under-coordinated Pt at Te vacancies.

Technical guideline for intra-prepontine cisternal drug delivery via spinal puncture through subarachnoid catheterization / 中南大学学报(医学版)

Objective:The distribution characteristics of intrathecal drugs and the limitation of current catheterization techniques make traditional intrathecal analgesic treatment nearly useless for refractory craniofacial pain,such as trigemina neuralgia.This technical guideline aims to promote the widespread and standardize the application of intra-prepontine cisternal drug delivery via spinal puncture and catheterization. Methods:A modified Delphi approach was used to work for this guideline.On the issues related to the intra-prepontine cisternal targeted drug delivery technique,the working group consulted 10 experts from the field with 3 rounds of email feedback and 3 rounds of conference discussion. Results:For the efficacy and safety of the intra-prepontine cisternal targeted drug delivery technique,a consensus was formed on 7 topics(with an agreement rate of more than 80%),including the principles of the technique,indications and contraindications,patient preparation,surgical specifications for intra-prepontine cisternal catheter placement,analgesic dosage coordination,analgesic management,and prevention and treatment of complications. Conclusion:Utilizing the intra-prepontine cisternal drug infusion system to manage refractory craniofacial pain could provide advantages in terms of minimally invasive,secure,and effective treatment.This application can not only alleviate the suffering of individuals experiencing the prolonged pain but also support the maintenance of quality of life and dignity in their final moments,justifiing its widespread dissemination and standardized adoption in domestic and international professional fields.

Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive.

Prostate cancer (PCa) patients with lymph node involvement (LNI) constitute a single-risk group with varied prognoses. Existing studies on this group have focused solely on those who underwent prostatectomy (RP), using statistical models to predict prognosis. This study aimed to develop an easily accessible individual survival prediction tool based on multiple machine learning (ML) algorithms to predict survival probability for PCa patients with LNI. A total of 3280 PCa patients with LNI were identified from the Surveillance, Epidemiology, and End Results (SEER) database, covering the years 2000-2019. The primary endpoint was overall survival (OS). Gradient Boosting Survival Analysis (GBSA), Random Survival Forest (RSF), and Extra Survival Trees (EST) were used to develop prognosis models, which were compared to Cox regression. Discrimination was evaluated using the time-dependent areas under the receiver operating characteristic curve (time-dependent AUC) and the concordance index (c-index). Calibration was assessed using the time-dependent Brier score (time-dependent BS) and the integrated Brier score (IBS). Moreover, the beeswarm summary plot in SHAP (SHapley Additive exPlanations) was used to display the contribution of variables to the results. The 3280 patients were randomly split into a training cohort (n = 2624) and a validation cohort (n = 656). Nine variables including age at diagnosis, race, marital status, clinical T stage, prostate-specific antigen (PSA) level at diagnosis, Gleason Score (GS), number of positive lymph nodes, radical prostatectomy (RP), and radiotherapy (RT) were used to develop models. The mean time-dependent AUC for GBSA, RSF, and EST was 0.782 (95% confidence interval [CI] 0.779-0.783), 0.779 (95% CI 0.776-0.780), and 0.781 (95% CI 0.778-0.782), respectively, which were higher than the Cox regression model of 0.770 (95% CI 0.769-0.773). Additionally, all models demonstrated almost similar calibration, with low IBS. A web-based prediction tool was developed using the best-performing GBSA, which is accessible at https://pengzihexjtu-pca-n1.streamlit.app/ . ML algorithms showed better performance compared with Cox regression and we developed a web-based tool, which may help to guide patient treatment and follow-up.

360° Map Establishment and Real-Time Simultaneous Localization and Mapping Based on Equirectangular Projection for Autonomous Driving Vehicles.

This paper proposes the design of a 360° map establishment and real-time simultaneous localization and mapping (SLAM) algorithm based on equirectangular projection. All equirectangular projection images with an aspect ratio of 2:1 are supported for input image types of the proposed system, allowing an unlimited number and arrangement of cameras. Firstly, the proposed system uses dual back-to-back fisheye cameras to capture 360° images, followed by the adoption of the perspective transformation with any yaw degree given to shrink the feature extraction area in order to reduce the computational time, as well as retain the 360° field of view. Secondly, the oriented fast and rotated brief (ORB) feature points extracted from perspective images with a GPU acceleration are used for tracking, mapping, and camera pose estimation in the system. The 360° binary map supports the functions of saving, loading, and online updating to enhance the flexibility, convenience, and stability of the 360° system. The proposed system is also implemented on an nVidia Jetson TX2 embedded platform with 1% accumulated RMS error of 250 m. The average performance of the proposed system achieves 20 frames per second (FPS) in the case with a single-fisheye camera of resolution 1024 × 768, and the system performs panoramic stitching and blending under 1416 × 708 resolution from a dual-fisheye camera at the same time.

Genomic Surveillance for SARS-CoV-2 - China, September 26, 2022 to January 29, 2023.

Introduction: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has generated 2,431 variants over the course of its global transmission over the past 3 years. To better evaluate the genomic variation of SARS-CoV-2 before and after the optimization of coronavirus disease 2019 (COVID-19) prevention and control strategies, we analyzed the genetic evolution branch composition and genomic variation of SARS-CoV-2 in both domestic and imported cases in China (the data from Hong Kong and Macau Special Administrative Regions and Taiwan, China were not included) from September 26, 2022 to January 29, 2023. Methods: Analysis of the number of genome sequences, sampling time, dynamic changes of evolutionary branches, origin, and clinical typing of SARS-CoV-2 variants submitted by 31 provincial-level administrative divisions (PLADs) and Xinjiang Production and Construction Corps (XPCC) was conducted to assess the accuracy and timeliness of SARS-CoV-2 variant surveillance. Results: From September 26, 2022 to January 29, 2023, 20,013 valid genome sequences of domestic cases were reported in China, with 72 evolutionary branches. Additionally, 1,978 valid genome sequences of imported cases were reported, with 169 evolutionary branches. The prevalence of the Omicron variants of SARS-CoV-2 in both domestic and imported cases was consistent with that of international epidemic variants. Conclusions: This study provides an overview of the prevalence of Omicron variants of SARS-CoV-2 in China. After optimizing COVID-19 prevention and control strategies, no novel Omicron variants of SARS-CoV-2 with altered biological characteristics or public health significance have been identified since December 1, 2022.

Evolution of Avian Influenza Virus (H3) with Spillover into Humans, China.

The continuous evolution of avian influenza viruses (AIVs) of subtype H3 in China and the emergence of human infection with AIV subtype H3N8 highlight their threat to public health. Through surveillance in poultry-associated environments during 2009-2022, we isolated and sequenced 188 H3 AIVs across China. Performing large-scale sequence analysis with publicly available data, we identified 4 sublineages of H3 AIVs established in domestic ducks in China via multiple introductions from wild birds from Eurasia. Using full-genome analysis, we identified 126 distinct genotypes, of which the H3N2 G23 genotype predominated recently. H3N8 G25 viruses, which spilled over from birds to humans, might have been generated by reassortment between H3N2 G23, wild bird H3N8, and poultry H9N2 before February 2021. Mammal-adapted and drug-resistance substitutions occasionally occurred in H3 AIVs. Ongoing surveillance for H3 AIVs and risk assessment are imperative for potential pandemic preparedness.

Prediction of Mortality in Geriatric Traumatic Brain Injury Patients Using Machine Learning Algorithms.

Background: The number of geriatric traumatic brain injury (TBI) patients is increasing every year due to the population's aging in most of the developed countries. Unfortunately, there is no widely recognized tool for specifically evaluating the prognosis of geriatric TBI patients. We designed this study to compare the prognostic value of different machine learning algorithm-based predictive models for geriatric TBI. Methods: TBI patients aged ≥65 from the Medical Information Mart for Intensive Care-III (MIMIC-III) database were eligible for this study. To develop and validate machine learning algorithm-based prognostic models, included patients were divided into a training set and a testing set, with a ratio of 7:3. The predictive value of different machine learning based models was evaluated by calculating the area under the receiver operating characteristic curve, sensitivity, specificity, accuracy and F score. Results: A total of 1123 geriatric TBI patients were included, with a mortality of 24.8%. Non-survivors had higher age (82.2 vs. 80.7, p = 0.010) and lower Glasgow Coma Scale (14 vs. 7, p < 0.001) than survivors. The rate of mechanical ventilation was significantly higher (67.6% vs. 25.9%, p < 0.001) in non-survivors while the rate of neurosurgical operation did not differ between survivors and non-survivors (24.3% vs. 23.0%, p = 0.735). Among different machine learning algorithms, Adaboost (AUC: 0.799) and Random Forest (AUC: 0.795) performed slightly better than the logistic regression (AUC: 0.792) on predicting mortality in geriatric TBI patients in the testing set. Conclusion: Adaboost, Random Forest and logistic regression all performed well in predicting mortality of geriatric TBI patients. Prognostication tools utilizing these algorithms are helpful for physicians to evaluate the risk of poor outcomes in geriatric TBI patients and adopt personalized therapeutic options for them.

Timing of intravenous thrombolysis with rt-PA combined with edaravone dexborneol in super elderly patients with moderate to severe acute ischemic stroke / 中华神经医学杂志

Objective:To investigate the efficacy and safety of recombinant tissue plasminogen activator (rt-PA) intravenous thrombolysis combined with edaravone dexborneol at different timing in super elderly patients (aged≥85 years) with moderate to severe acute ischemic stroke (AIS).Methods:A prospective study was performed. Seventy-one super elderly patients with moderate to severe AIS treated with rt-PA intravenous thrombolysis combined with edaravone dexborneol from December 2020 to March 2023 in Department of Neurology, Affiliated Fourth Central Hospital of Nankai University were selected and randomly divided into early group ( n=35) and advanced group ( n=36); patients in the early group were given edaravone dexborneol immediately after rt-PA intravenous thrombolysis, and patients in the advanced group were given edaravone dexborneol 24 h after rt-PA intravenous thrombolysis. In addition, 31 patients with moderate to severe AIS received rt-PA intravenous thrombolysis only in Department of Neurology of the hospital from August 2018 to December 2020 were selected as control group. Differences in efficacy and safety indexes among the 3 groups were compared. Results:After 7 d of treatment, the improvement rate of neurological function in early group was significantly higher than that in control group and advanced group ( P<0.05). After 90 d of treatment, modified Rankin scale (mRS) scores in early group were statistically lower than those in control group and advanced group ( P<0.05); good prognosis rate in early group was statistically higher than that in control group and advanced group ( P<0.05). The incidences of intracranial hemorrhage and symptomatic intracranial hemorrhage in early group were significantly lower than those in control group and advanced group ( P<0.05). After 30 and 90 d of treatment, the advanced group had significantly lower mortality than the control group, but significantly higher mortality than the early group ( P<0.05). Conclusion:Edaravone dexborneol immediately after rt-PA intravenous thrombolysis is the optimal timing for super elderly patients with moderate to severe AIS, which can improve the efficacy and safety.

A multi-cancer risk prediction model which constructed based on H4C6 methylation level and cfDNA concentration / 安徽医科大学学报

Objective@#To explore the difference in H4 clustered histone 6(H4C6) methylation level and circulating cell-free DNA (cfDNA) concentration between 94 normal group and 122 tumor groups (65 patients with lung cancer，22 patients with gastric cancer，23 patients with colorectal cancer，and 12 patients with liver cancer) ，and the age of total 216 subjects were between 18 and 85 years old．To construct a cancer risk prediction model based on H4C6 methylation level and cfDNA concentration and evaluate the predictive performance of the model．@*Methods@#cfDNA was extracted from blood samples using magnetic beads．Qubit 4. 0 fluorescence quantitative meter was used to detect the concentration of cfDNA. Real-time quantitative PCR( RT-qPCR) technology was used to detect the methylation level of H4C6 in cfDNA．Logistic regression algorithm was used to construct a cancer risk prediction model of H4C6 methylation level combined with cfDNA concentration．The accuracy of the model was assessed using receiver operating characteristic (ROC) curve and calibration curve．The clinical benefit of the model was as- sessed using decision curve analysis (DCA) . @*Results@#The model was constructed by combining H4C6 methylation level and cfDNA concentration to distinguish lung cancer，liver cancer，colorectal cancer，gastric cancer，pancancer from healthy control group had the area under curve (AUC) of 0. 769，0. 988，0. 934，0. 922，0. 830，respectively．The mean absolute error of the calibration curve was less than 0. 05 ; the net benefit of the DCA curve was greater than 0．@*Conclusion@#The cancer risk prediction model based on H4C6 methylation level and cfDNA concentration has good predictive performance，which helps to provide reasonable and effective suggestions for preclinical decision-making，and ultimately may provide patients with targeted and personalized cancer detection and diagnosis program.

Effects of modified Buzhong Yiqi Decoction on intestinal microflora in a rat model of chronic obstructive pulmonary disease / 中国基层医药

Objective:To investigate the effects of modified Buzhong Yiqi Decoction on intestinal microflora in a rat model of chronic obstructive pulmonary disease. Methods:From April to June 2021, 60 specific pathogen-free Wistar rats were selected for this study. They were randomly divided into blank control, model, traditional Chinese medicine, and western medicine groups with 15 rats per group. Rat models of chronic obstructive pulmonary disease with lung and spleen deficiency were established in all groups except the blank control group. Rat models in the traditional Chinese medicine and western medicine groups were administered modified Buzhong Yiqi Decoction and synbiotics. Rat models in the model and blank control groups were identically administered 0.9% sodium chloride injection. After 7 days, the feces of rats in each group were collected for 16S rRNA sequencing of intestinal flora. Effective sequences were clustered to obtain operational taxonomic units for principal coordinate analysis, species composition analysis, and alpha diversity analysis. The effects of modified Buzhong Yiqi Decoction on the structure, diversity, and abundance changes of intestinal flora were analyzed. Results:The dominant bacteria in the traditional Chinese medicine and western medicine groups were Firmicutes, while the dominant bacteria in the blank control and model groups were Bacteroides. The dominant bacterial groups in each group were mainly Lactobacillus and Bacteroides. Alpha diversity analysis showed that the Shannon index in the community diversity indices of traditional Chinese medicine, western medicine, and blank control groups was (3.65 ± 0.35), (3.65 ± 0.36), and (3.59 ± 0.20), respectively, which were significantly higher than (3.37 ± 0.26) in the model group ( t = 2.49, 2.44, 2.60, all P < 0.05). There was no significant difference in the Shannon index among traditional Chinese medicine, western medicine, and blank control groups (all P > 0.05). The Sobs index of the traditional Chinese medicine, western medicine, and blank control group was (458.67 ± 73.11), (454.80 ± 95.13), and (525.93 ± 101.88), respectively, which were significantly higher than (337.40 ± 37.49) in the model group ( t = 5.72, 4.45, 6.73, all P < 0.05). The Sobs index in the blank control group was higher than that in the western medicine group. There was no significant difference in the Sobs index between blank control and traditional Chinese medicine groups and between western medicine and traditional Chinese medicine groups (both P > 0.05). Principal coordinate analysis revealed that compared with the blank control group, Actinomycetes decreased and Proteobacteria and Desulfurization bacteria increased at the phylum level in the model group, while compared with the blank control group, Bacteroides, Rombutzia,Trichospirillus, and Parabacteroides increased, and Prevotella, Clostridium, Brucella, and Ruminococcus decreased at the genus level. Compared with the western medicine group, Bacillus, Prevotella, Brucella, and Prevotellidae in the traditional Chinese medicine group increased, while Clostridium, Pectinobacter, Christensen, and Trichospirillus decreased in the traditional Chinese medicine group. There was a statistically significant difference in the composition of the bacterial population between groups (all P < 0.05). Conclusion:There is an imbalance in intestinal microecology in a rat model of chronic obstructive pulmonary disease. Modified Buzhong Yiqi Decoction can regulate the intestinal microecology environment, improve the structure of intestinal flora, and increase the diversity and abundance of intestinal flora.

Influence of the pendant groups on electrochemical water oxidation catalyzed by cobalt(II) triazolylpyridine complexes.

The development of low-cost catalysts for the water oxidation reaction (WOR) is important for solving the bottleneck issues in water splitting and benefits the widespread utilization of renewable energy sources. Herein, four cobalt(II) triazolylpyridine complexes, namely [Co(DTE)2(H2O)2](ClO4)2·CH3COCH3 (1), [Co(DTE)2Cl2]·2CH3OH (2) (DTE = (1-(2-acetoxymethyl)-4-(2-pyridyl)1,2,3-triazole), [Co(DTEL)2(CH3OH)2](ClO4)2 (3), and [Co(DTEL)2Cl2]·H2O (4) (DTEL = (1-(2-hydroxy)-4-(2-pyridyl)1,2,3-triazole), were synthesized and characterized. The crystal structures of 1-3 were determined by X-ray single crystal diffraction analysis. The electrocatalytic water oxidation by 1-4 was studied in 0.1 M NaOAc-HOAc solutions. Complexes 1-4 were single-site molecular catalysts for the WOR under near-neutral conditions. The overpotentials for the WOR were 440 mV and 480 mV. The faradaic efficiencies were 77-92%. The rate constants kcat were 0.21-0.96 s-1. The catalytic activities were affected by the pendant groups of DTE and DTEL. Complexes with DTE (1 and 2) showed better activities than those with DTEL (3 and 4). Moreover, complexes 1-4 adsorbed on indium-doped tin oxide (ITO) and glassy carbon electrode surfaces were active for the WOR. A mechanism was proposed for the WOR catalyzed by 1-4.

Dibenzocyclooctendiones (DBCDOs): Arginine-Selective Chemical Labeling Reagents Obtained through Benzilic Acid Rearrangement.

We demonstrate that dibenzocyclooctendiones (DBCDOs) are efficient chemical reagents for the site-specific labeling of arginine-containing biomolecules. Unlike the commonly used probes, DBCDOs undergo an irreversible ring-contracted rearrangement with the guanidinium group on arginine residues under mild reaction conditions. The regioselective dual-labeled arginine residues were obtained in a one-pot reaction with our tested substrates. The efficiency of DBCDOs reactions and their ease of synthesis make DBCDOs an attractive choice for the site-selective bioconjugation of arginine.

Protected Health Information Recognition of Unstructured Code-Mixed Electronic Health Records in Taiwan.

Electronic health records (EHRs) at medical institutions provide valuable sources for research in both clinical and biomedical domains. However, before such records can be used for research purposes, protected health information (PHI) mentioned in the unstructured text must be removed. In Taiwan's EHR systems the unstructured EHR texts are usually represented in the mixing of English and Chinese languages, which brings challenges for de-identification. This paper presented the first study, to the best of our knowledge, of the construction of a code-mixed EHR de-identification corpus and the evaluation of different mature entity recognition methods applied for the code-mixed PHI recognition task.